class_docstr: Tests for the ``optimize_measurements`` function.
docstr: Generic test cases without coefficients.
docstr_tok: ["Generic","test","cases","without","coefficients","."]
code: def test_optimize_measurements_qwc_generic_case(
      self, observables, diagonalized_groupings_sol
  ):
      """Generic test cases without coefficients."""
  
      diagonalized_groupings = optimize_measurements(
          observables, grouping="qwc", colouring_method="rlf"
      )[1]
  
      # assert the correct number of partitions:
      n_partitions = len(diagonalized_groupings_sol)
      assert len(diagonalized_groupings) == n_partitions
      # assert each partition is of the correct length:
      assert all(
          len(diagonalized_groupings[i])
          == len(diagonalized_groupings_sol[i])
          for i in range(n_partitions)
      )
      # assert each partition contains the same Pauli terms as the solution partition:
      for i, partition in enumerate(diagonalized_groupings):
          for j, pauli in enumerate(partition):
              assert are_identical_pauli_words(
                  pauli, diagonalized_groupings_sol[i][j]
              )
  
file_path: pennylane/tests/pauli/grouping/test_pauli_optimize_measurements.py
imports: import pytest
  import numpy
  from pennylane import Identity, PauliX, PauliY, PauliZ
  from pennylane.pauli import are_identical_pauli_words
  from pennylane.pauli.grouping.optimize_measurements import optimize_measurements
label_desc: Use image node_id 1 for calling the TestOptimizeMeasurements obj's underlying member method code with example usage: obj.test_optimize_measurements_qwc_generic_case(observables, diagonalized_groupings_sol) without return types